Triple

T10794821
Position Surface form Disambiguated ID Type / Status
Subject Zanjan Province E254676 entity
Predicate hasCity P316 FINISHED
Object Abhar
Abhar is a city in northwestern Iran known for its historical significance and its location along the route between Tehran and Tabriz.
 E885501 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Abhar | Statement: [Zanjan Province, hasCity, Abhar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abhar
Context triple: [Zanjan Province, hasCity, Abhar]
  • A. Shahrud
    Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
  • B. Minab
    Minab is a city in southern Iran known for its agriculture, traditional markets, and proximity to the Persian Gulf.
  • C. Ardakan
    Ardakan is a city and electoral district in Iran’s Yazd Province, known as the political base and hometown of former president Mohammad Khatami.
  • D. Andimeshk
    Andimeshk is a city in southwestern Iran known as a regional transportation hub and gateway to the Zagros Mountains.
  • E. Darband
    Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Abhar
Triple: [Zanjan Province, hasCity, Abhar]
Generated description
Abhar is a city in northwestern Iran known for its historical significance and its location along the route between Tehran and Tabriz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abhar
Target entity description: Abhar is a city in northwestern Iran known for its historical significance and its location along the route between Tehran and Tabriz.
  • A. Shahrud
    Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
  • B. Minab
    Minab is a city in southern Iran known for its agriculture, traditional markets, and proximity to the Persian Gulf.
  • C. Ardakan
    Ardakan is a city and electoral district in Iran’s Yazd Province, known as the political base and hometown of former president Mohammad Khatami.
  • D. Andimeshk
    Andimeshk is a city in southwestern Iran known as a regional transportation hub and gateway to the Zagros Mountains.
  • E. Darband
    Darband is another name for Derbent, an ancient fortified city on the Caspian Sea in present-day Dagestan, Russia, known for its strategic mountain pass and historic defensive walls.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5654e2c48190a8f078b8164707e2 completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.